Is the perfetto-mcp MCP server actively maintained?

The perfetto-mcp MCP server was last committed 6mo ago and has 3 contributors. Issue health: 25% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

perfetto-mcp MCP Server

Name: antarikshc/perfetto-mcp
Rating: 2.9 (1 reviews)
Author: antarikshc

antarikshc/perfetto-mcp

Score: 48.2 Rank #22036 Monitoring

[![AgentRank](https://agentrank-ai.com/api/v1/badge/antarikshc--perfetto-mcp)](https://agentrank-ai.com/tool/antarikshc--perfetto-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of antarikshc/perfetto-mcp? Claim this listing →

This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses.

Add AgentRank to Claude Code Discover and compare tools like antarikshc/perfetto-mcp — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

antarikshc/perfetto-mcp is a Python MCP server licensed under Apache-2.0. This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses. Topics: android-tracing, mcp, model-context-protocol, perfetto.

Ranked #22036 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0 322 pypi/wk

android-tracingmcpmodel-context-protocolperfetto

Score Breakdown

Stars 15% 220

220 stars → growing community

Freshness 25% 6mo ago

Last commit 6mo ago → stale

Issue Health 25% 25%

2/8 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 322/wk

322 weekly installs → early adoption

Forks 30

Description Detailed

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 201 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 6 open vs 2 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/antarikshc--perfetto-mcp)](https://agentrank-ai.com/tool/antarikshc--perfetto-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/antarikshc--perfetto-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/antarikshc--perfetto-mcp" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="antarikshc/perfetto-mcp"></script>

Details

Stars: 220
Forks: 30
Open Issues: 6
Closed Issues: 2
Contributors: 3
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 6mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"topic:mcptopic:model-context-protocol

From the README

# Perfetto MCP

> Turn natural language into powerful Perfetto trace analysis

A Model Context Protocol (MCP) server that transforms natural-language prompts into focused Perfetto analyses. Quickly explain jank, diagnose ANRs, spot CPU hot threads, uncover lock contention, and find memory leaks – all without writing SQL.

## ✨ Features

- **Natural Language → SQL**: Ask questions in plain English, get precise Perfetto queries
- **ANR Detection**: Automatically identify and analyze Application Not Responding events
- **Performance Analysis**: CPU profiling, frame jank detection, memory leak detection
- **Thread Contention**: Find synchronization bottlenecks and lock contention
- **Binder Profiling**: Analyze IPC performance and slow system interactions

## 📋 Prerequisites

- **Python 3.13+** (macOS/Homebrew):
  ```bash
  brew install [email protected]
  ```
- **uv** (recommended):
  ```bash
  brew install uv
  ```

## 🚀 Getting Started

<details>
<summary><strong>Cursor</strong></summary>

Read full README on GitHub →